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Toward a personalized autonomous transportation system: Vision, challenges, and solutions.

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Intelligent transportation systems evolve into autonomous transportation systems (ATS) to overcome fragmentation. A new TPE framework using blockchain, federated learning, and large models ensures trustworthy, private, and equal mobility services.

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Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Autonomous Transportation Systems (ATS)
  • Cloud-Edge-Device Continuum

Background:

  • Fragmented ITS lead to isolated systems, resource competition, and information gaps, degrading traffic management and service levels.
  • The evolution towards ATS aims to create a collaborative, sustainable ecosystem with cloud-edge-device interoperability.
  • Key challenges for ATS include disparate data, deficient models, and conflicting interests in supporting autonomous and personalized mobility.

Purpose of the Study:

  • To address the challenges hindering the development and widespread adoption of autonomous transportation systems (ATS).
  • To propose an innovative framework ensuring trustworthy, private, and equitable mobility services within an ATS.
  • To enable personalized mobility solutions while maintaining data privacy and system integrity.

Main Methods:

  • Design and integration of a novel framework named TPE (Trustworthy, Private, and Equal-serving).
  • Seamless integration of blockchain technology for a trustworthy operating environment.
  • Application of federated learning for processing private data into globally shareable knowledge.
  • Development of large-scale models for personalized adaptation and mobility services.

Main Results:

  • The TPE framework successfully integrates blockchain, federated learning, and large-scale models.
  • It establishes a trustworthy operating environment for autonomous transportation systems.
  • Enables the processing of private data for generating globally applicable knowledge and personalized services.

Conclusions:

  • The TPE framework provides an innovative solution to critical challenges in autonomous transportation systems.
  • ATS empowered by TPE can effectively serve diverse user groups with enhanced privacy and equity.
  • This approach facilitates a more systematic balance between mobility demand and supply with reduced human intervention.